Visualizing Data & Communicating Results in R with RStudio from Coursera

Code and run your first R program in minutes without installing anything!

This course is designed for learners with limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown. Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended.

To allow for a truly hands-on, self-paced learning experience, this course is video-free.

Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

What's inside

Syllabus

Creating Comparison and Composition Charts

Learn how to create comparison and composition charts.

Creating Distribution Charts

Learn how to create distribution charts.

Creating Specialized Visualizations

Learn how to create specialized visualizations.

Communicating Data Using R Markdown

Learn how to export visualizations as commonly used document files.

Visualizing Data and Communicating Results with R Lab

Given a data set, create a chart that represents that data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to key data visualization concepts such as bar charts, histograms, and heat maps

Provides a practical and hands-on learning experience with code examples and interactive exercises

Empowers learners to communicate data effectively through R Markdown, allowing for export in various document formats

Assumes prior foundational knowledge in R programming and data analysis, which may limit accessibility for complete beginners

Focuses on basic data visualization principles and does not cover advanced techniques or specialized industry knowledge

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visualizing Data & Communicating Results in R with RStudio with these activities:

Gather a collection of R visualization resources

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Having a collection of resources will provide you with a valuable reference for future projects.

Browse courses on R Programming

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Search for online resources on R visualization.
Bookmark or save the links to these resources in a central location.

Read 'R Graphics Cookbook'

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This book provides a comprehensive guide to creating a wide variety of data visualizations using R.

View R Graphics Cookbook: Practical Recipes for... on Amazon

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Read through the chapters of the book.
Try out the code examples provided in the book.

Complete R exercises

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Practicing these drills will solidify your understanding of R syntax and data visualization techniques.

Browse courses on R Programming

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Work through the provided R exercises in the course materials.
Attempt to solve additional R exercises found online or in textbooks.

Five other activities

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Follow online tutorials on advanced R visualization techniques

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These tutorials will provide you with additional guidance and insights into more advanced R visualization techniques.

Browse courses on R Programming

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Search for online tutorials on advanced R visualization techniques.
Follow the tutorials and complete the exercises provided.
Experiment with the techniques you have learned in your own R projects.

Create a data visualization dashboard

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Creating a dashboard will allow you to apply your skills in data visualization and R programming to a practical problem.

Browse courses on Data Visualization

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Identify a dataset that you are interested in visualizing.
Design the layout of your dashboard, including the types of charts and graphs you will use.
Write the R code to generate the visualizations and arrange them in the dashboard.
Deploy your dashboard online or share it with others.

Answer questions and provide guidance on R visualization forums

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Helping others will reinforce your understanding of R visualization and allow you to connect with other learners.

Browse courses on R Programming

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Join online forums or communities dedicated to R visualization.
Monitor the forums for questions related to R visualization.
Provide answers and guidance to those who need it.

Participate in a data visualization competition

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Participating in a competition will challenge you to push your skills to the limit and learn from others.

Browse courses on Data Visualization

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Find a data visualization competition that aligns with your interests.
Gather and clean the data for your submission.
Design and create your data visualization.
Submit your visualization to the competition.

Contribute to an open-source R visualization project

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Contributing to an open-source project will allow you to learn from others, share your knowledge, and make a meaningful contribution to the R community.

Browse courses on R Programming

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Find an open-source R visualization project that interests you.
Review the project's documentation and codebase.
Identify an area where you can contribute.
Submit a pull request with your contributions.

Career center

Learners who complete Visualizing Data & Communicating Results in R with RStudio will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you build a foundation in data visualization, which is a key skill for data analysts. You'll learn how to create clear and concise visualizations that communicate data insights effectively.

See salaries and explore the career path for Data Analyst

Data Scientist

Data scientists use data to solve complex problems and make predictions. This course can help you build a foundation in data visualization, which is a key skill for data scientists. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Data Scientist

Business Analyst

Business analysts use data to identify and solve business problems. This course can help you build a foundation in data visualization, which is a key skill for business analysts. You'll learn how to create visualizations that communicate data insights effectively to stakeholders at all levels of an organization.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use data to collect, analyze, interpret, and present information. This course can help you build a foundation in data visualization, which is a key skill for statisticians. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Statistician

Software Engineer

Software engineers design, develop, and maintain software systems. This course can help you build a foundation in data visualization, which is a key skill for software engineers who work on data-driven applications. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Software Engineer

Product Manager

Product managers are responsible for managing the development and launch of new products. This course can help you build a foundation in data visualization, which is a key skill for product managers. You'll learn how to create visualizations that communicate data insights effectively to stakeholders at all levels of an organization.

See salaries and explore the career path for Product Manager

Data Engineer

Data engineers are responsible for building and maintaining the infrastructure that supports data analysis and data science. This course can help you build a foundation in data visualization, which is a key skill for data engineers. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Data Engineer

Marketing Analyst

Marketing analysts use data to understand customer behavior and develop marketing campaigns. This course can help you build a foundation in data visualization, which is a key skill for marketing analysts. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Marketing Analyst

Operations Research Analyst

Operations research analysts use data to solve problems in a variety of industries. This course can help you build a foundation in data visualization, which is a key skill for operations research analysts. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial analysts use data to make investment recommendations. This course can help you build a foundation in data visualization, which is a key skill for financial analysts. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk analysts use data to identify and manage risk. This course can help you build a foundation in data visualization, which is a key skill for risk analysts. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Risk Analyst

User Experience (UX) Designer

User experience (UX) designers use data to improve the user experience of products and services. This course can help you build a foundation in data visualization, which is a key skill for UX designers. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for User Experience (UX) Designer

Technical Writer

Technical writers use data to create documentation for products and services. This course can help you build a foundation in data visualization, which is a key skill for technical writers. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Technical Writer

Information Architect

Information architects use data to design and organize information systems. This course can help you build a foundation in data visualization, which is a key skill for information architects. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Information Architect

Librarian

Librarians use data to organize and manage information. This course can help you build a foundation in data visualization, which is a key skill for librarians. You'll learn how to create visualizations that communicate data insights effectively to both technical and non-technical audiences.

See salaries and explore the career path for Librarian